🐋DeepSeek V3 chat & R1 reasoning quick start
This n8n workflow demonstrates multiple ways to harness DeepSeek's AI models in your automation pipeline! 🌟 Core Features Multiple Integration Methods 🔌 Local deployment using Ollama for DeepSeek-R1 Direct API integration with DeepSeek Chat V3 Conversational agent with memory buffer HTTP request implementation with both raw and JSON formats Model Options 🧠 DeepSeek Chat V3 for general conversation DeepSeek-R1 for advanced reasoning Memory-enabled agent for persistent context Quick Setup 🛠️ API Configuration Base URL: https://api.deepseek.com Get your API key from platform.deepseek.com/api_keys Local Setup 💻 Install Ollama for local deployment Set up DeepSeek-R1 via Ollama Configure local credentials in n8n Implementation Details 🔧 Conversational Agent Window Buffer Memory for context Customizable system messages Built-in error handling with retries API Endpoints 🌐 Chat completions for V3 and R1 models OpenAI API format compatibles
By Joseph LePageGenerate, retrieve and download a report using the SecurityScorecard
This workflow allows you to generate, retrieve and download a report using the SecurityScorecard node. SecurityScorecard node: This node generates a full scorecard report. Based on your use-case, you can generate other type of report. SecurityScorecard1 node: This node fetches the latest report from SecurirtScoredcard. Toggle Return All to true to return all the reports. SecurityScorecard2 node: This node downloads the report that got fetched from the previous node. Based on your use-case, you can either store this report in Dropbox, Google Drive etc. or email it using the Gmail node, Send Email node or the Microsoft Outlook node. You can replace the Strat node with the Cron node to trigger the workflow on a regurlar interval.
By Harshil AgrawalCreate images from text prompts using Lumi and Replicate
This workflow provides automated access to the Adamantiamable Lumi AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Adamantiamable Lumi model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities Advanced processing and generation features Custom AI-powered automation tools Tools Used n8n: The automation platform that orchestrates the workflow Replicate API: Access to the Adamantiamable/lumi AI model Adamantiamable Lumi: The core AI model for other generation Built-in Error Handling: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing: Handle specific AI tasks and workflows Custom Automation: Implement unique business logic and processing Data Processing: Transform and analyze various types of data AI Integration: Add AI capabilities to existing systems and workflows Connect with Me Website: https://www.nofluff.online YouTube: https://www.youtube.com/@YaronBeen/videos LinkedIn: https://www.linkedin.com/in/yaronbeen/ Get Replicate API: https://replicate.com (Sign up to access powerful AI models) n8n automation ai replicate aiautomation workflow nocode aiprocessing dataprocessing machinelearning artificialintelligence aitools automation digitalart contentcreation productivity innovation
By Yaron BeenError log monitor with SSH, Slack alerts & Jira ticket creation
Description Automates monitoring of error logs and notifies developers of critical errors. Sends Slack alerts for critical and non-critical errors, with auto-creation of Jira tickets for critical issues. Essential Information Triggers manually or on a scheduled basis (e.g., every 5 minutes). Reads and parses server logs to detect errors. Alerts developers via Slack and creates Jira tickets for critical errors. System Architecture Error Detection Pipeline: Manual Trigger: Initiates the workflow manually. Schedule Every 5min: Schedules automatic runs every 5 minutes. Set Config: Configures basic parameters for log reading. Read Error Logs: Executes SSH command to fetch server logs. Wait For All Logs: Ensures all logs are read. Error Processing Flow: Parse Logs: Parses logs and categorizes critical vs. non-critical errors. IF Critical Error: Filters for critical errors. Alert and Ticket Creation: Send Slack Alert: Sends detailed alerts for critical errors via Slack. Create Jira Ticket: Creates a Jira ticket for critical errors. Send Non-Critical Alert: Sends simple alerts for non-critical errors via Slack. Implementation Guide Import the workflow JSON into n8n. Configure SSH credentials for log access. Set up Slack and Jira integrations with appropriate credentials. Test with a manual trigger and sample log data. Adjust the schedule (e.g., every 5min) and error parsing rules as needed. Monitor alert accuracy and ticket creation. Technical Dependencies SSH access for reading server logs. Slack API for team notifications. Jira API for bug ticket creation. n8n for workflow automation and scheduling. Customization Possibilities Adjust the Cron schedule for different intervals (e.g., every 10min). Modify Parse Logs node to refine error categorization rules. Customize Slack alert messages in Send Slack Alert and Send Non-Critical Alert nodes. Enhance Jira ticket details in Create Jira Ticket node (e.g., add priority). Add email notifications for additional alert channels.
By Oneclick AI SquadAutomatic email notifications for n8n version releases with Gmail
📢 Monitor n8n releases and get notifications for new versions 🆕 This workflow automatically monitors n8n’s release channels (latest and beta) and sends you email notifications whenever a new version is published. It also reads the version of your current n8n instance, allowing you to integrate automatic updates and ensure you never miss a release. Who is this for This workflow is designed for n8n users who want to stay informed and up to date with new releases and features without manually checking for updates, especially those managing their own instances who need to plan upgrades and review release notes. How it works The workflow performs the following steps: Fetches version information from the npm registry (latest and beta releases) Identifies only new versions by deduplication Retrieves release notes from GitHub for any newly detected version Converts Markdown to HTML for email template formatting Sends a styled email notification including the release name, version tag, your current version, and the complete release notes Setup Configure your n8n instance URL (Set myn8nurl) to detect your current version (optional — can be left blank) Connect and authorize the Gmail account used to send emails Update the recipient email address in the Gmail node Requirements A Gmail account for sending emails Customization tips Adjust the schedule trigger if hourly checks are too frequent Modify the release channel (e.g., “latest” or “beta”) if you want to track a different tag Change the npm registry link if you want to monitor a different package Customize the email template/styling in the Gmail node Add additional notification channels (Slack, Discord, etc.) alongside or instead of email Extend this workflow to automatically update your n8n instance when a new release becomes available Need help? If you're facing any issues using this workflow, join the community discussion on the n8n forum.
By Anan